t5-small-booksum / README.md
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Training complete
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: t5-small-booksum
    results: []

t5-small-booksum

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.1700

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
3.3266 1.0 29228 3.1859
3.2947 2.0 58456 3.1700

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.10.2+cu113
  • Datasets 1.18.4
  • Tokenizers 0.12.1